Název: | Deep learning for historical cadastral maps digitization: overview, challenges and potential |
Autoři: | Ignjatić, Jelena Nikolić, Bojana Rikalović, Aleksandar |
Citace zdrojového dokumentu: | WSCG 2018: poster papers proceedings: 26th International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 42-47. |
Datum vydání: | 2018 |
Nakladatel: | Václav Skala - UNION Agency |
Typ dokumentu: | konferenční příspěvek conferenceObject |
URI: | wscg.zcu.cz/WSCG2018/!!_CSRN-2803.pdf http://hdl.handle.net/11025/34636 |
ISBN: | 978-80-86943-42-8 |
ISSN: | 2464-4617 |
Klíčová slova: | konvoluční neuronové sítě;hluboké neuronové sítě;digitalizace map;vektorizace map;rozpoznání vzoru |
Klíčová slova v dalším jazyce: | convolutional neural networks;deep neural networks;map digitization;map vectorization;pattern recognition |
Abstrakt: | Cartographic heritage of historical cadastral maps represent remarkable geospatial data. Historical cadastral maps are generally regarded as an essential part of the land management infrastructure (buildings, streets, canals, bridges, etc.). Today these cadastral maps are still in use in a digital raster form (scanned maps). Digitization of cadastral maps is time consuming and it is a challenge for scientists and engineers to find ways to automatically convert raster into vector maps. The process of map digitization typically involves several stages: preprocessing, visual object detection and classification, vector representation postprocessing and extracting information from text. Although neural networks have had a long history of use in the domain, their applications remain limited to extracting the information from text. Recent convergence of advancements in the domains of training deep neural networks (DNN) and GPU hardware allowed DNNs to achieve state-of-the-art results in computer vision applications, beyond hand-written text recognition. This paper provides an overview of different approaches to historical cadastral maps digitization, focusing of the challenges and the potential of using deep neural networks in map digitization. |
Práva: | © Václav Skala - Union Agency |
Vyskytuje se v kolekcích: | WSCG 2018: Poster Papers Proceedings |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
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Ignjatić.pdf | Plný text | 1,08 MB | Adobe PDF | Zobrazit/otevřít |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/34636
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